Abstract

This paper gives first a brief overview about applications and basic principles of synthetic aperture radar (SAR). The second part of the paper describes uncertainties and ambiguities inherent in the SAR system. Concepts using Fuzzy Logic that are able to handlethis vagueness are proposed. The last part of the paper presents a new approach to adaptively classify SAR images. It consists of a fuzzy comparison of distributions (FCOD) and the fuzzy, lerning vector quantizer (FLVQ).